Inhardware demonstration of modelindependent adaptive tuning of noisy systems with arbitrary phase drift
In this work, an implementation of a recently developed modelindependent adaptive control scheme, for tuning uncertain and time varying systems, is demonstrated on the Los Alamos linear particle accelerator. The main benefits of the algorithm are its simplicity, ability to handle an arbitrary number of components without increased complexity, and the approach is extremely robust to measurement noise, a property which is both analytically proven and demonstrated in the experiments performed. We report on the application of this algorithm for simultaneous tuning of two buncher radio frequency (RF) cavities, in order to maximize beam acceptance into the accelerating electromagnetic field cavities of the machine, with the tuning based only on a noisy measurement of the surviving beam current downstream from the two bunching cavities. The algorithm automatically responds to arbitrary phase shift of the cavity phases, automatically retuning the cavity settings and maximizing beam acceptance. Because it is model independent it can be utilized for continuous adaptation to timevariation of a large system, such as due to thermal drift, or damage to components, in which the remaining, functional components would be automatically retuned to compensate for the failing ones. We start by discussing the general modelindependent adaptive scheme and howmore »
 Authors:

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 Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
 Publication Date:
 Report Number(s):
 LAUR1421532
Journal ID: ISSN 01689002; PII: S0168900214004227
 Grant/Contract Number:
 AC5206NA25396
 Type:
 Accepted Manuscript
 Journal Name:
 Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
 Additional Journal Information:
 Journal Volume: 756; Journal Issue: C; Journal ID: ISSN 01689002
 Publisher:
 Elsevier
 Research Org:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org:
 USDOE
 Country of Publication:
 United States
 Language:
 English
 Subject:
 42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; 43 PARTICLE ACCELERATORS; linac; adaptive control; feedback control; model independent control; RF cavity; phase drift
 OSTI Identifier:
 1193396
Scheinker, Alexander, Baily, Scott, Young, Daniel, Kolski, Jeffrey S., and Prokop, Mark. Inhardware demonstration of modelindependent adaptive tuning of noisy systems with arbitrary phase drift. United States: N. p.,
Web. doi:10.1016/j.nima.2014.04.026.
Scheinker, Alexander, Baily, Scott, Young, Daniel, Kolski, Jeffrey S., & Prokop, Mark. Inhardware demonstration of modelindependent adaptive tuning of noisy systems with arbitrary phase drift. United States. doi:10.1016/j.nima.2014.04.026.
Scheinker, Alexander, Baily, Scott, Young, Daniel, Kolski, Jeffrey S., and Prokop, Mark. 2014.
"Inhardware demonstration of modelindependent adaptive tuning of noisy systems with arbitrary phase drift". United States.
doi:10.1016/j.nima.2014.04.026. https://www.osti.gov/servlets/purl/1193396.
@article{osti_1193396,
title = {Inhardware demonstration of modelindependent adaptive tuning of noisy systems with arbitrary phase drift},
author = {Scheinker, Alexander and Baily, Scott and Young, Daniel and Kolski, Jeffrey S. and Prokop, Mark},
abstractNote = {In this work, an implementation of a recently developed modelindependent adaptive control scheme, for tuning uncertain and time varying systems, is demonstrated on the Los Alamos linear particle accelerator. The main benefits of the algorithm are its simplicity, ability to handle an arbitrary number of components without increased complexity, and the approach is extremely robust to measurement noise, a property which is both analytically proven and demonstrated in the experiments performed. We report on the application of this algorithm for simultaneous tuning of two buncher radio frequency (RF) cavities, in order to maximize beam acceptance into the accelerating electromagnetic field cavities of the machine, with the tuning based only on a noisy measurement of the surviving beam current downstream from the two bunching cavities. The algorithm automatically responds to arbitrary phase shift of the cavity phases, automatically retuning the cavity settings and maximizing beam acceptance. Because it is model independent it can be utilized for continuous adaptation to timevariation of a large system, such as due to thermal drift, or damage to components, in which the remaining, functional components would be automatically retuned to compensate for the failing ones. We start by discussing the general modelindependent adaptive scheme and how it may be digitally applied to a large class of multiparameter uncertain systems, and then present our experimental results.},
doi = {10.1016/j.nima.2014.04.026},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 756,
place = {United States},
year = {2014},
month = {8}
}